Nomograms for Prediction of Molecular Phenotypes in Colorectal Cancer

被引:7
作者
Yu, Zhuojun [1 ,2 ,3 ]
Yu, Huichuan [1 ]
Zou, Qi [1 ,4 ]
Huang, Zenghong [1 ,2 ]
Wang, Xiaolin [1 ]
Tang, Guannan [1 ]
Bai, Liangliang [1 ]
Zhou, Chuanhai [1 ,2 ,3 ]
Zhuang, Zhuokai [1 ,2 ]
Xie, Yumo [1 ,2 ]
Wang, Heng [1 ]
Xu, Gaopo [1 ]
Chen, Zijian [1 ,5 ]
Fu, Xinhui [1 ,6 ]
Huang, Meijin [1 ,2 ]
Luo, Yanxin [2 ]
机构
[1] Sun Yat Sen Univ, Guangdong Inst Gastroenterol, Guangdong Prov Key Lab Colorectal & Pelv Floor Di, Affiliated Hosp 6, 26 Yuancun Erheng Rd, Guangzhou 510655, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Dept Colorectal Surg, Affiliated Hosp 6, 26 Yuancun Erheng Rd, Guangzhou 510655, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou 510655, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Dept Colorectal & Anal Surg, Affiliated Hosp 6, Guangzhou 510655, Guangdong, Peoples R China
[5] Sun Yat Sen Univ, Dept Gastrointestinal Surg, Affiliated Hosp 6, Guangzhou 510655, Guangdong, Peoples R China
[6] Sun Yat Sen Univ, Dept Pathol, Affiliated Hosp 6, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
colorectal cancer; microsatellite instability; CpG island methylator phenotype; BRAF; KRAS; nomogram; prediction of molecular subtypes; ISLAND METHYLATOR PHENOTYPE; MICROSATELLITE-INSTABILITY; PROGNOSTIC VALUE; BRAF MUTATION; COLON-CANCER; KRAS; FLUOROURACIL; CHEMOTHERAPY; IRINOTECAN; SURVIVAL;
D O I
10.2147/OTT.S234495
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Colorectal cancer (CRC) patients with different molecular phenotypes, including microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and somatic mutations in BRAF and KRAS gene, vary in treatment response and prognosis. However, molecular phenotyping under adequate quality control in a community-based setting may be difficult. We aimed to build the nomograms based on easily accessible clinicopathological characteristics to predict molecular phenotypes. Methods: Three hundred and six patients with pathologically confirmed stage I-IV CRC were included in the cohort. The assays for MSI, CIMP, and mutations in BRAF and KRAS gene were performed using resected tumor samples. The candidate predictors were identified from clinicopathological variables using multivariate Logistic regression analyses to construct the nomograms that could predict each molecular phenotype. Results: The incidences of MSI, CIMP, BRAF mutation and KRAS mutation were 25.3% (72/285), 2.5% (7/270), 3.4% (10/293), and 34.8% (96/276) respectively. In the multivariate Logistic analysis, poor differentiation and high neutrophil/lymphocyte ratio (NLR) were independently associated with MSI; poor differentiation, high NLR and high carcinoembryonic antigen/tumor size ratio (CSR) were independently associated with CIMP; poor differentiation, lymphovascular invasion and high CSR were independently associated with BRAF mutation; poor differentiation, proximal tumor, mucinous tumor and high NLR were independently associated with KRAS mutation. Four nomograms for MSI, CIMP, BRAF mutation and KRAS mutation were developed based on these independent predictors, the C-indexes of which were 61.22% (95% CI: 60.28-62.16%), 95.57% (95% CI: 95.2095.94%), 83.56% (95% CI: 81.54-85.58%), and 69.12% (95% CI: 68.30-69.94%) respectively. Conclusion: We established four nomograms using easily accessible variables that could well predict the presence of MSI, CIMP, BRAF mutation and KRAS mutation in CRC patients.
引用
收藏
页码:309 / 321
页数:13
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